ICML-Fundamental Tradeoffs in Distributionally Adversarial Training

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Fundamental Tradeoffs in Distributionally Adversarial Training

       Mohammad Mehrabi * 1 Adel Javanmard * 1 Ryan A. Rossi 2 Anup B. Rao 2 Tung Mai 2

             Abstract                 performance, and have been deployed in a multitude of ap-
   Adversarial training is among the most effec-        plications domains ranging from visual object classification
   tive techniques to improve robustness of models       to speech recognition, robotics, natural language processing
   against adver ...

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关键词：distribution Fundamental Fundamenta Tradeoffs Training